2014
,
Gyulai, Dávid
,
Kádár, Botond
,
Kovács, András
,
Monostori, László
Managing changes and disturbances resulted by fluctuating order streams and diverse product portfolios requires efficient capacity management decisions and production planning strategies. High volume products can be produced cost efficiently on dedicated assembly lines, while the assembly of low runners is more efficient on reconfigurable lines. In the paper a hierarchical planning decision workflow is introduced to assign the products to dedicated and reconfigurable lines, and to optimize the system configuration and the production plan of the reconfigurable system in an integrated way. The proposed solution is demonstrated through the results of an industrial case study.
2012
,
Popovics, Gergely
,
Kardos, Csaba
,
Kemény, Lorinc
,
Gyulai, Dávid
,
Monostori, László
One of the most widespread techniques to evaluate various aspects of a manufacturing system is discrete-event simulation (DES). However, building a simulation model of a manufacturing system is a difficult task and requires special competence. The majority of simulation studies aimed at analyzing a certain problem by a specific simulation model created by experts. This approach requires relatively high financial expenditures. The paper introduces an ongoing research aimed at developing an application to reduce the costs of a draft simulation study. The input of the simulation models in the proposed methodology is based on ISA-95 standardized data structure. The instantiated input data set can be stored both in MS Excel, XML files or an SQL database. Having the complete input a simulation model can be created automatically without simulation expertise.